A COLLABORATIVE WATCHDOG AND CLASSIFIER BASED SCHEME TO DETECT AND AVOID SELFISH NODES IN MANET

Wireless mobile ad hoc networks are self-configuring, dynamic networks in which nodes are free to move. A mobile ad hoc network (MANET) is a continuously self-configuring, infrastructure-less network of mobile devices connected without wires, sometimes untrustworthy. From last decade, mobile ad hoc networks have become a very popular research topic. Communication range among mobile nodes in ad-hoc network is limited; hence several hopes are needed in a network to transmit a packet from one node to another node. In mobile ad hoc network, some nodes may selfishly decide only to cooperate partially, or not at all, with other nodes as its a cost intensive activity. This behavior of selfish nodes could then degrade the overall data accessibility which results into performance degradation of overall network. We surveyed some key technique for detecting selfish nodes in MANET. This paper provides a survey on different technique used to detect selfish nodes in such network as well as compare them (to study)in order to reduce the effect of selfish nodes in mobile ad hoc networks. Moreover one important aspects of this paper is to propose specific technique that would evaluate the selfishness behavior of nodes in the network in less time and effectively.